DocumentCode :
3643180
Title :
Opinion Mining and Social Networks: A Promising Match
Author :
Krzysztof Jedrzejewski;Mikolaj Morzy
Author_Institution :
Inst. of Comput. Sci., Poznan Univ. of Technol., Poznan, Poland
fYear :
2011
fDate :
7/1/2011 12:00:00 AM
Firstpage :
599
Lastpage :
604
Abstract :
In this paper we discuss the role and importance of social networks as preferred environments for opinion mining and sentiment analysis especially. We begin by briefly describing selected properties of social networks that are relevant with respect to opinion mining and we outline the general relationships between the two disciplines. We present the related work and provide basic definitions used in opinion mining. Then, we introduce our original method of opinion classification and we test the presented algorithm on real world datasets acquired from popular Polish social networks, reporting on the results. The results are promising and soundly support the main thesis of the paper, namely, that social networks exhibit properties that make them very suitable for opinion mining activities.
Keywords :
"Social network services","Accuracy","Semantics","Training","Data mining","Filtering","Dictionaries"
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on
Print_ISBN :
978-1-61284-758-0
Type :
conf
DOI :
10.1109/ASONAM.2011.123
Filename :
5992643
Link To Document :
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